Agilent Technologies (A) Cash from Operations (2009 - 2026)
Agilent Technologies (A) reported Cash from Operations of $519 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 43.4% from $362 million a year earlier and up 87.4% from the prior quarter.
Agilent Technologies (A) Cash from Operations (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Agilent Technologies' Cash from Operations came in at $1.61 billion, up 7.6% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.56 billion, down 11.0% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- By fiscal year, Cash from Operations came in at $1.75 billion in FY2024 (-1.2%), $1.77 billion in FY2023 (+35.1%), $1.31 billion in FY2022 (-11.6%) and $1.49 billion in FY2021 (+61.2%).
- Five-year quarterly Cash from Operations spans a low of $221 million in fiscal Q2 2025 and a high of $562 million in fiscal Q3 2023.
- Year over year, Cash from Operations gained in three of the last eight quarters, with an average decline of 3.4%.
- The high point for year-over-year Cash from Operations in five years was fiscal Q3 2023 (growth of 72.4%); the low point was fiscal Q2 2022 (a decline of 40.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $277 million (Q2 2026), $268 million (Q1 2026) and $545 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 2.13 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 2.49 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 1.53 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 1.06 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 1.26 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 776.00 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 651.90 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 519.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 519.00 Mn |
| Apr 30, 2026 | 277.00 Mn |
| Jan 31, 2026 | 268.00 Mn |
| Oct 31, 2025 | 545.00 Mn |
| Jul 31, 2025 | 362.00 Mn |
| Apr 30, 2025 | 221.00 Mn |
| Jan 31, 2025 | 431.00 Mn |
| Oct 31, 2024 | 481.00 Mn |
| Jul 31, 2024 | 452.00 Mn |
| Apr 30, 2024 | 333.00 Mn |
| Jan 31, 2024 | 485.00 Mn |
| Oct 31, 2023 | 516.00 Mn |
| Jul 31, 2023 | 562.00 Mn |
| Apr 30, 2023 | 398.00 Mn |
| Jan 31, 2023 | 296.00 Mn |
| Oct 31, 2022 | 448.00 Mn |
| Jul 31, 2022 | 326.00 Mn |
| Apr 30, 2022 | 283.00 Mn |
| Jan 31, 2022 | 255.00 Mn |
| Oct 31, 2021 | 441.00 Mn |
Agilent Technologies Cash from Operations API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cash-from-operations&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "A", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-from-operations&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();